Lead agentic AI architecture for RBC’s AI-DLC Platform, defining governed automation, production boundaries, and enterprise-scale engineering standards.

As Principal AI Engineer, you will own the platform’s technical direction and 12–18 month roadmap. You will guide hybrid skills, agents, and software-factory evolution. Your work spans LangGraph, CrewAI, AutoGen, RAG, MCP services, APIs, LLMOps, governance, and production reliability.

Key Responsibilities

Own architecture across skills, commands, agents, context, MCP, and governance

Define autonomy models, controls, approvals, and evidence requirements

Design multi-agent workflows with planning, memory, tools, and guardrails

Operate auditable promotion pipelines through Harness and Helios





Track adoption, quality, security, cycle time, usage, and ROI

Requirements

Proven production expertise with agentic AI architectures

Hands-on LangGraph, CrewAI, or AutoGen proficiency

Deep LLM engineering, RAG, evaluation, and LLMOps competency

Solid FastAPI, gRPC, MCP, CI/CD, Docker, and Kubernetes capability

Experience with cloud providers and enterprise platforms

Shape RBC’s AI-DLC Platform through agentic architecture, LLMOps, governed delivery, and measurable enterprise engineering outcomes.

📌 Principal Agentic AI Platform Engineer (Winnipeg)
🏢 RBC
📍 Winnipeg